Alfredo Goldman

Alfredo Goldman

Universidade de São Paulo

H-index: 25

Latin America-Brazil

About Alfredo Goldman

Alfredo Goldman, With an exceptional h-index of 25 and a recent h-index of 16 (since 2020), a distinguished researcher at Universidade de São Paulo, specializes in the field of HPC, Distributed Systems, Agile Methods, Technical Debt.

His recent articles reflect a diverse array of research interests and contributions to the field:

Being agile in a data science project

A multiple linear regression approach for understanding the trade-offs in learning HPC job scheduling heuristics

Towards the Detection of Microservice Patterns Based on Metrics

Evaluating execution time predictions on gpu kernels using an analytical model and machine learning techniques

On limits of Machine Learning techniques in the learning of scheduling policies

CharM—Evaluating a model for characterizing service-based architectures

Exploring Simplicity and Efficiency: Regression-based Scheduling Heuristics in HPC

A Preliminary Review of Function as a Service platform running with AWS Spot Instances

Alfredo Goldman Information

University

Position

Associate Professor of Computer Science

Citations(all)

2919

Citations(since 2020)

1202

Cited By

2086

hIndex(all)

25

hIndex(since 2020)

16

i10Index(all)

75

i10Index(since 2020)

29

Email

University Profile Page

Universidade de São Paulo

Google Scholar

View Google Scholar Profile

Alfredo Goldman Skills & Research Interests

HPC

Distributed Systems

Agile Methods

Technical Debt

Top articles of Alfredo Goldman

Title

Journal

Author(s)

Publication Date

Being agile in a data science project

Renato Cordeiro

Isaque Alves

Samara Alves

Alfredo Goldman

2022/6/13

A multiple linear regression approach for understanding the trade-offs in learning HPC job scheduling heuristics

Lucas de Sousa Rosa

Danilo Carastan-Santos

Alfredo Goldman

2023

Towards the Detection of Microservice Patterns Based on Metrics

João Daniel

Eduardo Guerra

Thatiane Rosa

Alfredo Goldman

2023/9/6

Evaluating execution time predictions on gpu kernels using an analytical model and machine learning techniques

Journal of Parallel and Distributed Computing

Marcos Amaris

Raphael Camargo

Daniel Cordeiro

Alfredo Goldman

Denis Trystram

2023/1/1

On limits of Machine Learning techniques in the learning of scheduling policies

Revista Eletrônica de Iniciação Científica em Computação

Lucas de Sousa Rosa

Danilo Carastan-Santos

Alfredo Goldman

Denis Trystram

2023/8/5

CharM—Evaluating a model for characterizing service-based architectures

Journal of Systems and Software

Thatiane de Oliveira Rosa

Eduardo Martins Guerra

Filipe Figueiredo Correia

Alfredo Goldman

2023/12/1

Exploring Simplicity and Efficiency: Regression-based Scheduling Heuristics in HPC

Lucas Rosa

Danilo Carastan-Santos

Alfredo Goldman

2023/7/17

A Preliminary Review of Function as a Service platform running with AWS Spot Instances

Luciana da Costa Marques

Alfredo Goldman

2023/10/17

Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection in Brazilian Portuguese

Marcelo Matheus Gauy

Larissa Cristina Berti

Arnaldo Cândido Jr

Augusto Camargo Neto

Alfredo Goldman

...

2023/6/5

Enabling HW-based task scheduling in large multicore architectures

IEEE Transactions on Computers

Lucas Morais

Carlos Álvarez

Daniel Jiménez-González

Juan Miguel de Haro

Guido Araujo

...

2023/10/12

An experimental analysis of regression-obtained HPC scheduling heuristics

Lucas Rosa

Danilo Carastan-Santos

Alfredo Goldman

2023/5/19

Towards Understanding Efficient Privacy-Preserving Homomorphic Comparison

IEEE Access

Bernardo Pulido-Gaytan

Andrei Tchernykh

Franck Leprévost

Pascal Bouvry

Alfredo Goldman

2023/9/14

A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures

International Journal of Parallel Programming

Tongsheng Geng

Marcos Amaris

Stéphane Zuckerman

Alfredo Goldman

Guang R Gao

...

2022/2

Minicursos do XXIII Simpósio em Sistemas Computacionais de Alto Desempenho

Carla Osthoff

Daniel Cordeiro

Ricardo Menotti

Tiago da Conceição Oliveira

Sayonara S Araújo

...

2022/10/19

Heart rate variability predicts the subject-driven cognitive states

Carlos Enrique Paucar Farfán

Grover Enrique Castro Guzman

Pedro Bruel

Alfredo Goldman

Daniel Yasumasa Takahashi

...

2022/8/18

Technical debt prioritization: a developer's perspective

Diogo Pina

Carolyn Seaman

Alfredo Goldman

2022/5/16

Coisas para Fazer Antes de Paralelizar

Sociedade Brasileira de Computação

Alfredo Goldman

Vitor Tessari Terra

Sarita Mazzini Bruschi

2022/10/19

Detecting respiratory insufficiency by voice analysis: the SPIRA project

Proceedings

Sandra Maria Aluísio

Augusto César de Camargo Neto

Edresson Casanova

Flaviane Romani Fernandes Svartman

Renato Cordeiro Ferreira

...

2022

Are knowledge and usage of microservices patterns aligned? An exploratory study with professionals

2022 IEEE 46TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2022)

Joao Francisco Lino Daniel

Alfredo Goldman

Eduardo Guerra Martins

HV Leong

SS Sarvestani

...

2022

Coisas para saber antes de fazer o seu próprio Benchmarks Game

Sociedade Brasileira de Computação

Alfredo Goldman

Elisa Uhura

Sarita Mazzini Bruschi

2022/4/18

See List of Professors in Alfredo Goldman University(Universidade de São Paulo)

Co-Authors

H-index: 23
Marcelo Finger

Marcelo Finger

Universidade de São Paulo

H-index: 20
Siang Wun Song

Siang Wun Song

Universidade de São Paulo

H-index: 17
Raphael Y. de Camargo

Raphael Y. de Camargo

Universidade Federal do ABC

H-index: 17
Daniel Macêdo Batista

Daniel Macêdo Batista

Universidade de São Paulo

H-index: 15
Eduardo Guerra

Eduardo Guerra

Libera Università di Bolzano

H-index: 12
Claudia de O. Melo

Claudia de O. Melo

Universidade de Brasília

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